Data mining approach identifies research priorities and data requirements for resolving the red algal tree of life |
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| Authors: | Heroen Verbruggen Christine A Maggs Gary W Saunders Line Le Gall Hwan Su Yoon Olivier De Clerck |
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| Affiliation: | 1.Phycology Research Group and Center for Molecular Phylogenetics and Evolution,Ghent University,Ghent,Belgium;2.School of Biological Sciences,Queen's University Belfast, Medical Biology Centre,Belfast,UK;3.Centre for Environmental & Molecular Algal Research Department of Biology,University of New Brunswick,Fredericton,Canada;4.Muséum National d'Histoire Naturelle, UMR 7138,Cedex 05 Paris,France;5.Bigelow Laboratory for Ocean Sciences,West Boothbay Harbor,USA |
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| Abstract: | Background The assembly of the tree of life has seen significant progress in recent years but algae and protists have been largely overlooked in this effort. Many groups of algae and protists have ancient roots and it is unclear how much data will be required to resolve their phylogenetic relationships for incorporation in the tree of life. The red algae, a group of primary photosynthetic eukaryotes of more than a billion years old, provide the earliest fossil evidence for eukaryotic multicellularity and sexual reproduction. Despite this evolutionary significance, their phylogenetic relationships are understudied. This study aims to infer a comprehensive red algal tree of life at the family level from a supermatrix containing data mined from GenBank. We aim to locate remaining regions of low support in the topology, evaluate their causes and estimate the amount of data required to resolve them. |
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